搜索资源列表
dimreduce
- 普通降维方法汇总，PCA，LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
daima
- （压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
pcalda
- 包括pca和lda两个文件，先用pca降维后进行lda进行分类，用于人脸识别，实验结果很好。-It includes 2 files pca and lda. After the dimensionality reduction of pca, use lda for classification in face recognition. It has a very good experimental results.
lda
- lda 源码。用来为数据降维，使得识别率有所提高。-lda source code. Is used for data dimensionality reduction, making the recognition rate increased.
lda8renxunlian
- 这是学习LDA降维方法的核心程序，将降维后的特征就可以用于识别，这是非常好了解LDA多类降维的好程序！-This is the LDA dimension reduction methods to learn the core program will feature after dimension reduction can be used to identify that this is a very good understanding of many types of lower-dim
regularized-lda
- 正则化LDA，最新！对于图像降维与图像识别的研究有很重要的研究意义-Regularized LDA, the latest! Dimension reduction for images and image recognition of a very important research significance
PCA_LDA_Face_Verification
- PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
EE4208_FaceRecog_ZhaoJian_v1
- The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/pro
PCAPLDA
- 这是一个很好的人脸识别的程序，首先用PCA降维，然后用LDA方法进行分类，用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
2D-LDA
- LDA是一种线性降维方法，对原有的高维人脸数据集降维，然后识别，具有很好的聚类和识别效果。有详细的说明-LDA is a linear dimensionality reduction method, the original high-dimensional face data set dimensionality reduction, and then identify clustering and identification. Described in detail
Jonathan-Huangpca-pca-jiang-wei
- 人脸特征提取LDA特征，Jonathan Huang大师编的降维。-Facial feature extraction LDA dimensionality reduction of features, master series.
shiyuan
- 是一个基于opencv的人脸识别的程序。采用的是lda和pca降维的算法，来达到高精度的识别程序-Opencv face recognition program is based. Lda PCA dimensionality reduction algorithm to achieve high-precision recognition program
Color-rendering.
- 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程，还有一下其它的人脸检测的背景知识。-Face expression identification code, part of the realization of the algorithm and write the purpo
GaitRecognition
- 里面包含了步态识别的整一套流程的代码实现，包括从视频流里面提取图片帧，背景建模，提取运动目标（运动检测），形态学处理（膨胀与腐蚀，连通性检测），归一化大小，步态能量图的构建，主成分分析（PCA）降维,线性判别分析（LDA）分类等等功能的代码实现。均通过测试。-Contains the gait recognition of the whole process of a set of code, including the extraction and picture frames from th
fisherplot
- 运用fisher方法进行pca降维和Lda特征提取的人耳识别。-Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.
OLDA
- 在LDA算法基础上优化的OLDA算法，用于特征提取、降维等-In LDA algorithm based on the optimization of OLDA algorithm for feature extraction, dimensionality reduction, etc.
high-quality-PCA-LDA-code
- 质量很高的一个PCA-LDA特征降维代码，附一个LDA简单学习实例。-A high-quality PCA-LDA feature reduction code attached a simple learning example of LDA.
PCA-LDA-LPP-SLLDA
- 图像降维的经典算法PCA,LDA，LPP,SLLDA程序，包含掌纹库，可以直接解压运行-The classic image dimensionality reduction algorithm of PCA, LDA, LPP, SLLDA program that contains palmprint , can direct decompression operation
Fisher-LDA-face-recognize
- matlab平台实现人脸识别，通过PCA降维后再通过线性判别分析LDA实现人脸匹配。内附ORL人脸数据库，运行main函数即可输出结果-Matlab platform to achieve face recognition, PCA dimensionality reduction and then through linear discriminant analysis LDA face matching. Contains ORL face , run the main function t